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서명원(Myung-Won Suh),문영준(Young-Jun Moon),윤경한(Kyoung-han Yoon),권성진(Seong-Jin Kwon) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, driving characteristics of ASV (Advanced Safety Vehicle) equipped with ACC (Adaptive Cruise Control) system are investigated by vehicle dynamic simulation, which is embodied in VR (Virtual Reality) environment. The vehicle model contains the nonlinear subcomponents of engine, torque converter, automatic transmission and wheels. Longitudinal controller for ACC system is established by using sliding control theory and headway time policy. VR environment enables the visualization of vehicle motions and simulation reality on various conditions. Also, we research the real-time simulation algorithms that synchronized vehicle dynamic simulation with graphic rendering.
서명원(Myung-Won Suh),권성진(Seong-Jin Kwon),심문보(Mun-Bo Shim),조기용(Ki-Yong Cho),이은표(Eun-PyoLee) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
As the bus is the most public transportation system, the existing researches have focused on the transportation capacity and the carrying power. On the order hand, the research and development on the driving stability, safety and convenience of passengers has been increased actively in these days. in this paper, we have investigated the design of door mechanism in urban buses that are useful for passengers. The mathematical models for the kinematic and dynamic analysis of door mechanism are constructed for computer simulation, which may reduce time and cost of a vehicle test and an experiment. The simulation program enables designers to analyze the behavior characteristics of door mechanism according to the design variables and the various simulation conditions.
심문보,서명원,Shim, Mun-Bo,Suh, Myung-Won 대한기계학회 2002 大韓機械學會論文集A Vol.26 No.6
In an attempt to solve multiobjective optimization problems, many traditional methods scalarize the objective vector into a single objective. In those cases, the obtained solution is highly sensitive to the weight vector used in the scalarization process and demands the user to have knowledge about the underlying problem. Moreover, in solving multiobjective problems, designers may be interested in a set of Pareto-optimal points, instead of a single point. In this paper, pareto-based Continuous Evolutionary Algorithms for Multiobjective Optimization problems having continuous search space are introduced. This algorithm is based on Continuous Evolutionary Algorithms to solve single objective optimization problems with a continuous function and continuous search space efficiently. For multiobjective optimization, a progressive reproduction operator and a niche-formation method fur fitness sharing and a storing process for elitism are implemented in the algorithm. The operator and the niche formulation allow the solution set to be distributed widely over the Pareto-optimal tradeoff surface. Finally, the validity of this method has been demonstrated through a numerical example.
박재실,석창성,서명원,홍경태,Park, Jae-Sil,Seok, Chang-Sung,Suh, Myung-Won,Hong, Kyung-Tae 대한기계학회 2000 大韓機械學會論文集A Vol.24 No.10
Steam turbine rotors are the most critical and highly stressed components of a steam power plant; therefore, the life expectancy of the turbine rotor is an important consideration for the safety of a steam power plant. The objective of this paper is to develop a life estimation program for turbine rotors for all possible operating conditions. For this purpose, finite element analysis was carried out for four normal operating modes (cold, warm, hot and very hot starts) using ABAQUS codes. The results are made into databases to evaluate the life expenditure for an actual operating condition. For any other possible abnormal operating condition, the operating data are transmitted to the server (workstation) through a network to carry out finite element analysis. Damage estimation is carried out by transmitting the finite element analysis results to the personal computer, and then the life expectancy is calculated.
서진원(JIN WON SUH),서명원(MYUNG WON SUH) 한국자동차공학회 1993 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
전체 강성을 만족하여 중량을 최소로 하는 차체단면들을 결정하기위한 연구이다. 두 단계의 최적화 과정을 거치는데 처음엔 차체중량을 최소로하며 강성을 만족하기위해 차체단면이 가져야할 단면계수를 구한다. 구한 계수갑들을 만족하여 면적을 최소로하는 단면형상이 다음의 최적화 작업을 통하여얻어진다.
자동차 주위 유동에 관한 수치해석; 태양열 자동차에 대해서
김병철(kim Byung Chul),서명원(Suh Myung Won) 한국자동차공학회 1992 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1992 No.11
흐름의 분리를 수반하는 태양열 자동차 주위 3차원 난류유동은 공기저항 감소, 안정성과 쾌적성의 향상을 위한 해석으로 전산유체역학 코드인 STAR-CD 를 사용 해석을 수행하였다.<br/> 본 해석에서는 유한체적법을 이용하여 자세변화, 지면경계조건변화, 그리고 지면과 Underbody 사이의 거리변화에 따른 표면압력계수분포, 흐름의 가시화, 후류구조의 특성, 그리고 항력계수, 양력계수, 핏칭모멘트계수등의 결과들을 비교 분석하였으며 풍동실험 결과와 비교하였다.<br/> 결과로 수치해석의 공기저항계수는 실험에서의 값에 비해 1.52배, 양력계수는 다소 낮게 예측되었다. Three-dimensional turbulent flow around SOLAR CAR involving the separation of flow is numerically simulated using computational fluid dynamics code, STAR-CD for the reduction of aerodynamic drag and the improvement of stability and comfort. STAR-CD uses a finite volume method to solve the Navier-Stokes equations. with a k-t; turbulence model using body-fitted coordinates.<br/> urface pressure coefficient distribution on SOLAR CAR, visualized flow field, characteristic of wake structure, and drag coefficents, lift coefficients, pitching moment coefficients, are compared to wind tunnel test results for- the validation. The analyses are performed to see the effects of the various cases, or, the pitching angle of the body shape( a=0˚, 4˚), the boundary conditions of the ground(fixed ground, moving ground), and the distance between the ground and underbody(h/L=0.0218, 0.0402).<br/> The drag coefficients by the numerical simulation are about 1.52 times higher than the. experimental value' and the lift coefficents are underpredicted.
프런트 필라 트림의 내열특성 향상을 위한 순차적 실험계획법과 인공신경망 기반의 최적설계
이정환(Jung Hwan Lee),서명원(Myung Won Suh) Korean Society for Precision Engineering 2013 한국정밀공학회지 Vol.30 No.10
Optimal mount position of a front pillar trim considering heat resistant characteristics can be determined by two methods. One is conventional approximate optimization method which uses the statistical design of experiments (DOE) and response surface method (RSM). Generally, approximated optimum results are obtained through the iterative process by a trial and error. The quality of results depends seriously on the factors and levels assigned by a designer. The other is a methodology derived from previous work by the authors, which is called sequential design of experiments (SDOE), to reduce a trial and error procedure and to find an appropriate condition for using artificial neural network (ANN) systematically. An appropriate condition is determined from the iterative process based on the analysis of means. With this new technique and ANN, it is possible to find an optimum design accurately and efficiently.